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Tavaxy: Integrating Taverna and Galaxy workflows with cloud computing support

Overview of attention for article published in BMC Bioinformatics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
27 X users
patent
3 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
17 CiteULike
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Title
Tavaxy: Integrating Taverna and Galaxy workflows with cloud computing support
Published in
BMC Bioinformatics, May 2012
DOI 10.1186/1471-2105-13-77
Pubmed ID
Authors

Mohamed Abouelhoda, Shadi Alaa Issa, Moustafa Ghanem

Abstract

Over the past decade the workflow system paradigm has evolved as an efficient and user-friendly approach for developing complex bioinformatics applications. Two popular workflow systems that have gained acceptance by the bioinformatics community are Taverna and Galaxy. Each system has a large user-base and supports an ever-growing repository of application workflows. However, workflows developed for one system cannot be imported and executed easily on the other. The lack of interoperability is due to differences in the models of computation, workflow languages, and architectures of both systems. This lack of interoperability limits sharing of workflows between the user communities and leads to duplication of development efforts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 3 2%
Brazil 3 2%
United Kingdom 3 2%
Netherlands 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Colombia 1 <1%
Sweden 1 <1%
Other 6 4%
Unknown 144 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 28%
Researcher 45 27%
Student > Master 14 8%
Professor > Associate Professor 13 8%
Student > Bachelor 9 5%
Other 28 17%
Unknown 12 7%
Readers by discipline Count As %
Computer Science 68 41%
Agricultural and Biological Sciences 54 32%
Biochemistry, Genetics and Molecular Biology 12 7%
Medicine and Dentistry 7 4%
Engineering 6 4%
Other 9 5%
Unknown 11 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 July 2023.
All research outputs
#1,553,032
of 24,137,933 outputs
Outputs from BMC Bioinformatics
#272
of 7,505 outputs
Outputs of similar age
#8,946
of 166,674 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 100 outputs
Altmetric has tracked 24,137,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,505 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 166,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.